神经网络7种C语言实现代码，大家可以

里面有两个源码，人机博弈的，一个是五子棋，一个是中国象棋！-with a two-source, human-computer game, one of 331, a Chinese chess!

我的人工神经网络作业，包括BP网络的学习，训练和回想，初学人工神经网络的可以-My artificial neural network operation, including the BP network learning, training and recall, learning artificial neural network can

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

C++,Fortran和Matlab分别实现的bp算法程序 方便初学者学习和调用-C++, Fortran and Matlab algorithm bp, respectively, procedures realize the convenience of beginners to learn and call

神经网络的源程序，一个比较新的算法，分类效果较好！-neural network source, a relatively new algorithm, better classification results!

基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation

混沌遗传算法-Chaos Genetic Algorithm

模糊pid仿真，先运行模糊推理系统设计程序a.m，并调入内存，然后运行模糊控制程序b.m,对pid控制参数进行整定。-Pid fuzzy simulation, Fuzzy Inference System to run the design process am, and transferred to memory, and then run the procedure of fuzzy control bm, of pid control tuning parameters.

此代码经过大量使用，反映很好，代码优化，效率高-this code after extensive use, reflecting good code optimization, high efficiency! !

使用模拟退火思想解决ISP（独立集）问题，使用先看说明-Thinking of using the simulated annealing solution to ISP (independent set), the use of look at the description